Optimal tracking design for stochastic fuzzy systems.

In general, fuzzy control design for stochastic nonlinear systems is still difficult since the fuzzy bases are stochastic so as to increase the difficulty and complexity of the fuzzy tracking control design. In this study, a fuzzy stochastic moving-average model with control input (fuzzy ARMAX model...

詳細記述

書誌詳細

出版年:	IEEE Transactions on fuzzy systems 11, 6 (2003).
第一著者:	Bor-Sen Chen
フォーマット:	論文
言語:	English
主題:	Fuzzy ARMAX model. Fuzzy one-step ahead prediction model. Fuzzy stochastic moving-average model. Fuzzy tracking control design. Generalized minimum variance tracking control. Nonlinear system. Optimal design algorithms. Optimal model reference tracking control. Optimal tracking. Optimal tracking design. Stability conditions. Stochastic fuzzy systems.